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Field
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Experience in machine-learning modeling for solid mechanics applications Experience in the development and coupling of numerical methods for solid mechanics modeling Post-Doctoral Associate Employment at NYUAD
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Requisition Id 13945 Overview: The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate who will focus
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
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Postdoctoral position in fabrication of hollow-core optical fibers for next-generation communication
, both in oral and written forms. Highly meritorious: Knowledge in theoretical/numerical methods for simulation of thermo- and fluid dynamics. Knowledge in optics. Ability to communicate in Swedish. We
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to participate in collaborative work Desirable criteria Ability to use computer algebra software (e.g. Mathematica or Maple) for symbolic computations Good numerical skills Experience in field-theoretical methods
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inspired numerical methods for partial differential equations, data generation from small datasets, etc. Job Duties Job Duty Research in modeling of complex biological systems. Develop models and modules
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of the stock structure of many fish populations in the Baltic Sea is limited. For numerous species, we lack detailed knowledge about changes and spatial variation in migration patterns, reproduction, size and
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of the project Bacteria are constantly predated by viruses, bacteriophages. To resist predation, bacteria employ numerous antiphage defence systems, with the most famous being CRISPR-Cas. In our lab we discover
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experience in many-body quantum theory and/or quantum computing. Experience with numerical methods or quantum simulation frameworks. Preferred Qualifications FLSA Exempt Full Time/Part Time Full Time Number
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and of research methods and techniques to work within established research programmes. Applicants should be able to demonstrate a successful track record in clinically-relevant psychological research